Powering generalist robotics and world models with multi-million-hour annotated egocentric data, hand tracking, upper-body/whole-body motion capture, tactile sensing, and simulation for OpenAI, Google DeepMind, Meta, Figure, 1X, Skild, Genesis AI, and Dyna... Backed by South Park Commons.
About the role
Own the end-to-end Real2Sim workflow based on Isaac Sim, MuJoCo, Genesis, Blender and other simulation platforms, including 3D reconstruction, appearance reconstruction, dynamic identification, calibration of contact, friction and inertia parameters, to align dynamic and perceptual behaviors between simulation and real robots. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Proficiency in at least one simulation/graphics tool such as Isaac Sim, MuJoCo, Genesis or Blender, with solid understanding of computer graphics and rigid-body dynamics. Familiar with physics simulation engines such as PhysX and Newton
- Hands-on experience with Real2Sim pipelines and SimReady asset standards, capable of independently building, configuring and validating robot or object assets including joint setup and physical property tuning
- Ability to decompose requirements, implement technical solutions, run comparative experiments and root-cause sim-real mismatches from visual reconstruction or physical simulation
- Capable of designing dynamic system identification experiments, analyzing measured hardware data, and quantifying sim-real errors introduced by nonlinear dynamics
More about this role
Core Objective: Build the digital pipeline from the real world to simulation space. Reconstruct and calibrate visual and physical properties of robots, objects and scenes, and deliver SimReady interactive assets to reduce the sim-to-real gap, supporting algorithm training, simulation evaluation and policy transfer to real hardware.
Own the end-to-end Real2Sim workflow based on Isaac Sim, MuJoCo, Genesis, Blender and other simulation platforms, including 3D reconstruction, appearance reconstruction, dynamic identification, calibration of contact, friction and inertia parameters, to align dynamic and perceptual behaviors between simulation and real robots.
Create, validate and iterate SimReady assets following USD / URDF / MJCF standards. Configure joints, collision shapes, mass/inertia, joint limits, semantic labels and affordance properties for robots and interactive objects, to achieve physical parameter calibration of simulation assets, ensuring stable usability in simulation training.
Process multi-modal real-world captured data: camera calibration, point cloud & mesh processing, texture and PBR material calibration. Leverage 3DGS / NeRF and related reconstruction methods to...
Browse similar: AI jobs · AI startup jobs · Startup jobs